Data Scientist - MMM

The OR Society; Greater London; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

Stryker Corporation is seeking a Data Scientist to join our MMM-focused team, blending data science with marketing effectiveness to influence business decisions. You will apply advanced modelling and collaborate with stakeholders to deliver impactful insights.

You will gain exposure to marketing mix modelling tools such as Meridian, Robyn, and PyMC, and develop your skills in Python and cloud platforms like GCP.

Qualifications

• Strong commercial experience in data science or statistical modelling, ideally within marketing analytics.
• Hands-on experience with marketing mix modelling or similar approaches using Meridian, Robyn, or PyMC.
• Proficiency in Python and experience working with cloud platforms such as GCP.
• Understanding of Bayesian statistics and marketing attribution concepts.
• Ability to communicate technical findings clearly to non-technical audiences.
• Interest in applying AI tools to enhance data science workflows.

Responsibilities

• Deliver marketing mix modelling projects, including data preparation, model execution, and scenario analysis.
• Apply statistical techniques to solve business problems across marketing data.
• Translate model outputs into clear, actionable insights that inform budget decisions.
• Collaborate with senior stakeholders and contribute to high-quality client deliverables.
• Use AI tools to enhance productivity, accelerate development, and improve communication of outputs.

Skills

Data science

Marketing analytics

Python

Bayesian statistics

Communication

Modeling

Tools

Meridian

Robyn

PyMC

Job description

Data Scientist - MMM

This is an exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly.

The Company

They are a global, data-led organisation operating at the forefront of marketing analytics and technology. Built on strong technical foundations, they combine proprietary tools, experimentation, and data science to help organisations understand what drives performance. Their teams work across a wide range of clients and industries, delivering measurable impact through rigorous analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment.

The Role

• Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis
• Apply statistical and analytical techniques to solve business problems across marketing and performance data
• Translate complex model outputs into clear, actionable insights that inform budget and channel decisions
• Collaborate with senior stakeholders and contribute to high-quality client deliverables
• Use AI tools to enhance productivity, accelerate development, and improve communication of outputs

Your Skills and Experience

• Strong commercial experience in data science or statistical modelling, ideally within marketing analytics
• Hands-on experience with marketing mix modelling or similar approaches, with exposure to tools such as Meridian, Robyn, or PyMC
• Proficiency in Python and experience working with cloud platforms such as GCP
• Understanding of Bayesian statistics and marketing attribution concepts
• Ability to communicate technical findings clearly to non-technical audiences
• Interest in applying AI tools to enhance data science workflows

What They Offer

• Opportunity to work on data-driven projects across a range of industries
• Ongoing professional development and clear progression within a growing data science function
• Access to cutting-edge tools like Google Meridian and AI-driven workflows